A new approach for modelling variability in residential construction projects

<p>The construction industry is plagued by long cycle times caused by variability in the supply chain. Variations or undesirable situations are the result of factors such as non-standard practices, work site accidents, inclement weather conditions and faults in design. This paper uses a new ap...

Full description

Bibliographic Details
Main Authors: Mehrdad Arashpour, Ron Wakefield, Nick Blismas, EWM lee
Format: Article
Language:English
Published: UTS ePRESS 2013-06-01
Series:Australasian Journal of Construction Economics and Building
Subjects:
Online Access:https://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/view/3120
id doaj-8e9f2b1db8204338823d4b2b1270b7bc
record_format Article
spelling doaj-8e9f2b1db8204338823d4b2b1270b7bc2020-11-24T22:27:27ZengUTS ePRESSAustralasian Journal of Construction Economics and Building1835-63541837-91332013-06-01132839210.5130/ajceb.v13i2.31202134A new approach for modelling variability in residential construction projectsMehrdad Arashpour0Ron Wakefield1Nick Blismas2EWM lee3RMIT UniversityRMIT UniversityRMIT UniversityCity University of Hong Kong<p>The construction industry is plagued by long cycle times caused by variability in the supply chain. Variations or undesirable situations are the result of factors such as non-standard practices, work site accidents, inclement weather conditions and faults in design. This paper uses a new approach for modelling variability in construction by linking relative variability indicators to processes. Mass homebuilding sector was chosen as the scope of the analysis because data is readily available. Numerous simulation experiments were designed by varying size of capacity buffers in front of trade contractors, availability of trade contractors, and level of variability in homebuilding processes. The measurements were shown to lead to an accurate determination of relationships between these factors and production parameters. The variability indicator was found to dramatically affect the tangible performance measures such as home completion rates. This study provides for future analysis of the production homebuilding sector, which may lead to improvements in performance and a faster product delivery to homebuyers.</p><p> </p>https://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/view/3120Completion timeProduction managementqueuingResidential constructionSensitivity analysisVariability in supply chainwork-in-process inventory
collection DOAJ
language English
format Article
sources DOAJ
author Mehrdad Arashpour
Ron Wakefield
Nick Blismas
EWM lee
spellingShingle Mehrdad Arashpour
Ron Wakefield
Nick Blismas
EWM lee
A new approach for modelling variability in residential construction projects
Australasian Journal of Construction Economics and Building
Completion time
Production management
queuing
Residential construction
Sensitivity analysis
Variability in supply chain
work-in-process inventory
author_facet Mehrdad Arashpour
Ron Wakefield
Nick Blismas
EWM lee
author_sort Mehrdad Arashpour
title A new approach for modelling variability in residential construction projects
title_short A new approach for modelling variability in residential construction projects
title_full A new approach for modelling variability in residential construction projects
title_fullStr A new approach for modelling variability in residential construction projects
title_full_unstemmed A new approach for modelling variability in residential construction projects
title_sort new approach for modelling variability in residential construction projects
publisher UTS ePRESS
series Australasian Journal of Construction Economics and Building
issn 1835-6354
1837-9133
publishDate 2013-06-01
description <p>The construction industry is plagued by long cycle times caused by variability in the supply chain. Variations or undesirable situations are the result of factors such as non-standard practices, work site accidents, inclement weather conditions and faults in design. This paper uses a new approach for modelling variability in construction by linking relative variability indicators to processes. Mass homebuilding sector was chosen as the scope of the analysis because data is readily available. Numerous simulation experiments were designed by varying size of capacity buffers in front of trade contractors, availability of trade contractors, and level of variability in homebuilding processes. The measurements were shown to lead to an accurate determination of relationships between these factors and production parameters. The variability indicator was found to dramatically affect the tangible performance measures such as home completion rates. This study provides for future analysis of the production homebuilding sector, which may lead to improvements in performance and a faster product delivery to homebuyers.</p><p> </p>
topic Completion time
Production management
queuing
Residential construction
Sensitivity analysis
Variability in supply chain
work-in-process inventory
url https://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/view/3120
work_keys_str_mv AT mehrdadarashpour anewapproachformodellingvariabilityinresidentialconstructionprojects
AT ronwakefield anewapproachformodellingvariabilityinresidentialconstructionprojects
AT nickblismas anewapproachformodellingvariabilityinresidentialconstructionprojects
AT ewmlee anewapproachformodellingvariabilityinresidentialconstructionprojects
AT mehrdadarashpour newapproachformodellingvariabilityinresidentialconstructionprojects
AT ronwakefield newapproachformodellingvariabilityinresidentialconstructionprojects
AT nickblismas newapproachformodellingvariabilityinresidentialconstructionprojects
AT ewmlee newapproachformodellingvariabilityinresidentialconstructionprojects
_version_ 1725749950401216512